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Título
EKG Intelligent Mobile System for Home Users
Autor(es)
Palabras clave
Computer Science
Fecha de publicación
2014/11
Editor
Springer Science + Business Media
Citación
Advances in Artificial Intelligence -- IBERAMIA 2014. 14th Ibero-American Conference on AI, Santiago de Chile, Chile, November 24-27, 2014, Proceedings. Lecture Notes in Computer Science. pp. 767-778.
Abstract
Medical diagnosis is a fundamental field to detect potential diseases and illness in patients. Nowadays, decision support systems used to detect health problems present several technical advances with respect to the existing systems 20 or 30 years ago. This work is associated to this evolution in diagnostic systems. In this work, a low cost electrocardiography system is developed. The system is able of acquiring patient medical information and send it to a medical center in execution time. This system can be used as an alternative to the current Holter monitors in daily life to record heart activity for 24 hours.
URI
ISBN
978-3-319-12026-3 (Print) / /978-3-319-12027-0 (Online)
ISSN
0302-9743 (Print) / 1611-3349 (Online)
Collections
- BISITE. Congresos [418]